CN111858383A - Mobile APP data point burying method and system, terminal equipment and storage medium - Google Patents
Mobile APP data point burying method and system, terminal equipment and storage medium Download PDFInfo
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- CN111858383A CN111858383A CN202010769595.2A CN202010769595A CN111858383A CN 111858383 A CN111858383 A CN 111858383A CN 202010769595 A CN202010769595 A CN 202010769595A CN 111858383 A CN111858383 A CN 111858383A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
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- G06F11/3688—Test management for test execution, e.g. scheduling of test suites
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3684—Test management for test design, e.g. generating new test cases
Abstract
The invention relates to the technical field of application program point burying, and discloses a data point burying method, a system, terminal equipment and a computer storage medium of a mobile APP, wherein the method comprises the following steps: when a starting operation instruction for a mobile APP to be developed is received, extracting a data buried point general model, wherein the data buried point general model is constructed based on a preset data buried point task; configuring a data reporting mechanism of a data embedded point control element in a data embedded point general model; applying the data embedded point general model to a mobile APP to be developed, and monitoring the complete life cycle of a data embedded point control piece in the process of running the mobile APP to be developed; and if the data reporting mechanism is triggered by the data embedded point control element, acquiring and reporting the operation behavior data received by the data embedded point control element. In addition, the invention also relates to a block chain technology, and the data buried point general model can be stored in the block chain. The invention can not only improve the efficiency of point burying, but also avoid point burying errors and improve the accuracy of point burying.
Description
Technical Field
The present invention relates to the field of Application program point burying technology, and in particular, to a data point burying method, system, terminal device and computer storage medium for mobile APP (Application program).
Background
With the rise of mobile internet, mobile APP has become the most important sales and display platform of mobile internet products, so it is very important to the development of mobile internet to ensure the performance of each data index of mobile APP service, and how to design and promote each data index of APP service has to be an important means for data embedding and data analysis for the mobile APP.
In addition, in the method, after developers of mobile APP services need to respectively identify corresponding service scenes aiming at the data embedded points in different service scenes, the data embedded points in the scenes are set to carry out data acquisition and reporting.
In summary, in the existing embedded data embedding manner, the data embedding development work is very tedious, which easily results in laying out data embedding points with errors in data acquisition and reporting, thereby seriously affecting the data analysis process and the accuracy of the data analysis result in the later period, and lowering the overall efficiency of the data embedding points.
Disclosure of Invention
The invention mainly aims to provide a data point burying method, a data point burying system, terminal equipment and a computer storage medium of a mobile APP, and aims to solve the technical problems that the existing data point burying development work is complicated, data point burying errors are easy to occur, and the overall efficiency of data point burying is low.
To achieve the above object, an embodiment of the present invention provides a data embedding method for mobile APP, where the data embedding method for mobile APP includes:
when a starting operation instruction for a mobile APP to be developed is received, extracting a data buried point general model, wherein the data buried point general model is constructed based on a preset data buried point task;
configuring a data reporting mechanism of a data embedded point control element in the data embedded point general model;
applying the data embedded point general model to a mobile APP to be developed, and monitoring the complete life cycle of the data embedded point control in the process of running the mobile APP to be developed;
and if the data reporting mechanism is triggered by the data embedded point control element, acquiring and reporting the operation behavior data received by the data embedded point control element.
Preferably, the data embedding method of the mobile APP further includes:
acquiring a preset data point burying task, and constructing a data point burying general model according to the preset data point burying task;
the step of constructing a data buried point general model according to the preset data buried point task comprises the following steps:
analyzing the preset data point burying task to obtain all service scenes needing data point burying work;
and unifying configuration information of the architecture model field aiming at all the service scenes to construct a model structure of the data buried point general model.
Preferably, the step of constructing a data embedding point general model according to the preset data embedding point task further includes:
detecting all data controls shared by all the service scenes and control base classes to which all the data controls belong;
and carrying out data control type expansion according to each control base class to construct and obtain each data buried point control in the data buried point general model.
Preferably, the step of performing data control type expansion according to each control base class to construct and obtain each data buried point control in the data buried point general model includes:
obtaining each model field used for identifying the type of the data buried point in the model structure of the data buried point general model;
respectively and uniformly configuring key value pairs of model fields corresponding to the control base classes according to the control base classes to carry out data buried point type expansion;
and taking the data control of each model field mark after data buried point type expansion as each data buried point control in the data buried point general model.
Preferably, the step of configuring a data reporting mechanism of the data buried point control in the data buried point general model includes:
reading the data buried point type of each data buried point control element in the data buried point general model;
and respectively extracting the reporting mechanism corresponding to each data buried point type, and correspondingly configuring the reporting mechanism into the data reporting mechanism of the data buried point control of each data buried point type.
Preferably, the step of applying the data embedded point general model to a mobile APP to be developed and monitoring a complete life cycle of the data embedded point control in a process of running the mobile APP to be developed includes:
synchronously starting and operating the data buried point general model in the process of starting and operating the mobile APP to be developed;
and detecting target data embedded point controls owned by the mobile APP to be developed in each data embedded point control of the data embedded point general model, and monitoring the complete life cycle of the target data embedded point controls.
Preferably, the step of extracting the data buried point general model when receiving a start-up operation instruction for the mobile APP to be developed includes:
and when a starting operation instruction for the mobile APP to be developed is received, extracting a data buried point general model from the block chain.
In addition, in order to achieve the above object, the present invention further provides a data embedding system of a mobile APP, including:
the system comprises an extraction module and a data embedding point processing module, wherein the extraction module is used for extracting a data embedding point general model when a starting operation instruction aiming at a mobile APP to be developed is received, and the data embedding point general model is constructed based on a preset data embedding point task;
the configuration module is used for configuring a data reporting mechanism of the data embedded point control element in the data embedded point general model;
the monitoring module is used for applying the data embedded point general model to a mobile APP to be developed and monitoring the complete life cycle of the data embedded point control in the process of running the mobile APP to be developed;
and the acquisition module is used for acquiring and reporting the operation behavior data received by the data embedded point control element if the data embedded point control element is detected to trigger the data reporting mechanism.
In addition, to achieve the above object, the present invention also provides a terminal device, including: a memory, a processor, a communication bus and a data-embedded program of a mobile APP stored on said memory,
the communication bus is used for realizing communication connection between the processor and the memory;
the processor is configured to execute a data embedding program of the mobile APP to implement the following steps:
when a starting operation instruction for a mobile APP to be developed is received, extracting a data buried point general model, wherein the data buried point general model is constructed based on a preset data buried point task;
configuring a data reporting mechanism of a data embedded point control element in the data embedded point general model;
applying the data embedded point general model to a mobile APP to be developed, and monitoring the complete life cycle of the data embedded point control in the process of running the mobile APP to be developed;
and if the data reporting mechanism is triggered by the data embedded point control element, acquiring and reporting the operation behavior data received by the data embedded point control element.
Further, to achieve the above object, the present invention also provides a computer storage medium storing one or more programs executable by one or more processors for:
when a starting operation instruction for a mobile APP to be developed is received, extracting a data buried point general model, wherein the data buried point general model is constructed based on a preset data buried point task;
configuring a data reporting mechanism of a data embedded point control element in the data embedded point general model;
applying the data embedded point general model to a mobile APP to be developed, and monitoring the complete life cycle of the data embedded point control in the process of running the mobile APP to be developed;
and if the data reporting mechanism is triggered by the data embedded point control element, acquiring and reporting the operation behavior data received by the data embedded point control element.
According to the mobile APP data point burying method, the mobile APP data point burying system, the terminal device and the computer readable storage medium, when a starting operation instruction for a mobile APP to be developed is received, a data point burying general model is extracted, wherein the data point burying general model is constructed based on a preset data point burying task; configuring a data reporting mechanism of a data embedded point control element in the data embedded point general model; applying the data embedded point general model to a mobile APP to be developed, and monitoring the complete life cycle of the data embedded point control in the process of running the mobile APP to be developed; and if the data reporting mechanism is triggered by the data embedded point control element, acquiring and reporting the operation behavior data received by the data embedded point control element. The method comprises the steps of extracting and calling a data embedded point general model which is constructed in advance based on a data embedded point task when a user starts to operate a mobile APP to be developed, configuring a data reporting mechanism of a data embedded point control piece of the data embedded point general model which synchronously exists in the mobile APP to be developed, synchronously starting to operate the data embedded point general model to apply the data embedded point general model to the mobile APP to be developed, monitoring the complete life cycle of the data embedded point control piece with the configured data reporting mechanism in the whole process of operating the mobile APP to be developed by the user, and collecting operation behavior data of the user based on the data embedded point control piece and reporting the operation behavior data to analyze the behavior data when detecting that the data embedded point control piece triggers the corresponding data reporting mechanism.
The invention realizes that the embedded point monitoring is carried out on the data embedded point control part of the mobile APP to be developed based on the built general model to form non-embedded data embedded point operation, and the coupling between the data embedded point and the service scene is reduced.
Drawings
Fig. 1 is a schematic structural diagram of a hardware operating environment of a terminal device according to a method of an embodiment of the present invention;
FIG. 2 is a flowchart illustrating an embodiment of a method for embedding data of a mobile APP in a mobile device according to the present invention;
fig. 3 is a functional block diagram of a data embedding system of mobile APP according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows: when a starting operation instruction for a mobile APP to be developed is received, extracting a data buried point general model, wherein the data buried point general model is constructed based on a preset data buried point task; configuring a data reporting mechanism of a data embedded point control element in the data embedded point general model; applying the data embedded point general model to a mobile APP to be developed, and monitoring the complete life cycle of the data embedded point control in the process of running the mobile APP to be developed; and if the data reporting mechanism is triggered by the data embedded point control element, acquiring and reporting the operation behavior data received by the data embedded point control element.
With the rise of mobile internet, mobile APP has become the most important sales and display platform of mobile internet products, so it is very important to the development of mobile internet to ensure the performance of each data index of mobile APP service, and how to design and promote each data index of APP service has to be an important means for data embedding and data analysis for the mobile APP. However, in the prior art, an embedded data embedding manner is usually adopted to perform data embedding and data acquisition reporting in the mobile APP, and the embedded data embedding manner is not only huge in the number of data embedding points, but also very scattered in the distribution of the data embedding points. In the existing embedded data point burying mode, the data point burying development work is very complicated, and the data point burying with errors in data acquisition and reporting is easily laid, so that the accuracy of a data analysis process and a data analysis result in a later period is seriously influenced, and the overall efficiency of the data point burying is low.
The solution provided by the invention is based on extracting and calling a data buried point general model which is constructed in advance based on a data buried point task when a user starts to run a mobile APP to be developed, then configuring a data reporting mechanism of a data embedded point control part of the data embedded point general model synchronously existing in the mobile APP to be developed, synchronously starting and operating the data embedded point general model to apply the data embedded point general model to the mobile APP to be developed, therefore, in the whole process of running the mobile APP to be developed by the user, the complete life cycle of the data embedded point control with the configured data reporting mechanism is monitored, and when detecting that the data embedded point control piece triggers the corresponding data reporting mechanism, collecting operation behavior data performed by a user based on the data embedded point control piece and reporting the operation behavior data for behavior data analysis.
The invention realizes that the embedded point monitoring is carried out on the data embedded point control part of the mobile APP to be developed based on the built general model to form non-embedded data embedded point operation, and the coupling between the data embedded point and the service scene is reduced.
As shown in fig. 1, fig. 1 is a schematic device structure diagram of a hardware operating environment of a terminal device according to an embodiment of the present invention.
The terminal equipment of the embodiment of the invention can be an intelligent customer service robot, and can also be terminal equipment such as a PC, a smart phone, a tablet personal computer and a portable computer.
As shown in fig. 1, the terminal device may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Optionally, the terminal device may further include a camera, a Radio Frequency (RF) circuit, a sensor, an audio circuit, a WiFi module, and the like. Such as light sensors, motion sensors, and other sensors. In particular, the light sensor may include an ambient light sensor that adjusts the brightness of the display screen based on the ambient light level and a proximity sensor that turns off the display screen and/or backlight when the device is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), detect the magnitude and direction of gravity when the device is stationary, and can be used for applications of recognizing the device posture (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; of course, the mobile terminal may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.
Those skilled in the art will appreciate that the device architecture shown in fig. 1 does not constitute a limitation of the terminal device, and in other embodiments, the terminal device may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a data sink program of the mobile APP.
In the terminal device shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and processor 1001 may be configured to call a data-embedded program of mobile APP stored in memory 1005 and perform the following steps:
when a starting operation instruction for a mobile APP to be developed is received, extracting a data buried point general model, wherein the data buried point general model is constructed based on a preset data buried point task;
configuring a data reporting mechanism of a data embedded point control element in the data embedded point general model;
applying the data embedded point general model to a mobile APP to be developed, and monitoring the complete life cycle of the data embedded point control in the process of running the mobile APP to be developed;
and if the data reporting mechanism is triggered by the data embedded point control element, acquiring and reporting the operation behavior data received by the data embedded point control element.
Further, processor 1001 may be configured to invoke a data-embedded program of mobile APP stored in memory 1005, and further perform the following steps:
acquiring a preset data point burying task, and constructing a data point burying general model according to the preset data point burying task;
the step of constructing a data buried point general model according to the preset data buried point task comprises the following steps:
analyzing the preset data point burying task to obtain all service scenes needing data point burying work;
and unifying configuration information of the architecture model field aiming at all the service scenes to construct a model structure of the data buried point general model.
Further, processor 1001 may be configured to invoke a data-embedded program of mobile APP stored in memory 1005, and further perform the following steps:
detecting all data controls shared by all the service scenes and control base classes to which all the data controls belong;
and carrying out data control type expansion according to each control base class to construct and obtain each data buried point control in the data buried point general model.
Further, processor 1001 may be configured to invoke a data-embedded program of mobile APP stored in memory 1005, and further perform the following steps:
obtaining each model field used for identifying the type of the data buried point in the model structure of the data buried point general model;
respectively and uniformly configuring key value pairs of model fields corresponding to the control base classes according to the control base classes to carry out data buried point type expansion;
and taking the data control of each model field mark after data buried point type expansion as each data buried point control in the data buried point general model.
Further, processor 1001 may be configured to invoke a data-embedded program of mobile APP stored in memory 1005, and further perform the following steps:
reading the data buried point type of each data buried point control element in the data buried point general model;
and respectively extracting the reporting mechanism corresponding to each data buried point type, and correspondingly configuring the reporting mechanism into the data reporting mechanism of the data buried point control of each data buried point type.
Further, processor 1001 may be configured to invoke a data-embedded program of mobile APP stored in memory 1005, and further perform the following steps:
synchronously starting and operating the data buried point general model in the process of starting and operating the mobile APP to be developed;
and detecting target data embedded point controls owned by the mobile APP to be developed in each data embedded point control of the data embedded point general model, and monitoring the complete life cycle of the target data embedded point controls.
Further, the data-embedded common model is stored in a blockchain, and the processor 1001 may be configured to call a data-embedded program of the mobile APP stored in the memory 1005, and further perform the following steps:
and when a starting operation instruction for the mobile APP to be developed is received, extracting a data buried point general model from the block chain.
The specific embodiments of the terminal device related to the data embedding method for mobile APP of the present invention are substantially the same as the specific embodiments of the data embedding method for mobile APP described below, and are not described herein again.
The invention provides a data point burying method of a mobile APP.
Referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of a mobile APP data embedding method according to the present invention, in the embodiment, the mobile APP data embedding method includes:
step S100, when a starting operation instruction for a mobile APP to be developed is received, extracting a data embedded point general model, wherein the data embedded point general model is constructed based on a preset data embedded point task;
and when receiving a starting operation instruction which is triggered by a user and aims at a pre-installed mobile APP to be developed, the terminal equipment extracts a data embedded point general model which is constructed in advance based on a preset data embedded point task.
It should be noted that, in this embodiment, the mobile APP to be developed may be an APP in which a development worker installs in advance in the terminal device to perform a test to acquire operation behavior data for further test development for a specific service scenario, or the mobile APP to be developed may also be an APP that has been officially released and used in the market, and the development worker updates and maintains the developed service scenario of the APP or develops a new service scenario for the APP by acquiring operation behavior data generated in the process that a user starts to run on the terminal device that installs the APP. In addition, the data embedding point general model may be specifically constructed by a developer according to a preset data embedding point task which is autonomously defined or generated through a specific algorithm in advance, and is stored in a local database or a cloud database of the terminal device, and is used for executing data embedding point work to acquire a data model of operation behavior data executed by the developer or a user for an APP running on the terminal device.
Specifically, for example, in order to develop a service scene for a mobile APP to be developed, a development worker installs the APP on a terminal device for testing, when the terminal device detects that the development worker touches and presses an icon generated by the APP on a front-end user graphical interface of the terminal device, so as to trigger a start operation instruction of the APP, the terminal device receives the start operation instruction and starts to start and operate the APP, and then synchronously extracts a data embedded point general model which is pre-built by the development worker, stored in a specified database, and used for executing a data embedded point to acquire behavior data of the development worker during the operation of the APP.
Further, in another possible embodiment, the terminal device may also extract the built data embedded point general model and continuously operate before receiving the start-up operation instruction for the mobile APP to be developed, for example, the terminal device may extract the data embedded point general model and start operation when the terminal device is powered on and started up.
Further, the data-embedded common model is stored in the block chain, and in a possible embodiment, the step S100 may include:
and S101, when a starting operation instruction for the mobile APP to be developed is received, extracting a data buried point general model from the block chain.
It should be noted that, in this embodiment, in order to ensure that the constructed data buried point general model is not erroneously modified or removed, the constructed data buried point general model may be stored in a node of a block chain, which not only ensures the stability of the data buried point general model, but also ensures the response enthusiasm of the data buried point general model when the data buried point general model is called subsequently, and the accuracy of data analysis by using the data buried point general model to perform data buried point and behavior data acquisition, thereby further improving the overall efficiency of the data buried point.
Specifically, for example, when receiving a start operation instruction for the APP triggered by a development worker touching and pressing an icon of a mobile APP to be developed displayed on a front-end user graphical interface, the terminal device extracts a data embedded point general model which is pre-constructed by the development worker and used for executing a data embedded point to collect behavior data of the development worker during the running process of the APP from nodes of a block chain pre-specified by the development worker.
Step S200, configuring a data reporting mechanism of a data embedded point control element in the data embedded point general model;
after the terminal device extracts the data buried point general model, the terminal device respectively configures corresponding data reporting mechanisms for the data buried point controls pre-configured in the general model.
It should be noted that, in this embodiment, the data embedding point control in the data embedding point general model may specifically be a embedding point type control that is output and expressed in a user graphical interface according to an actual service scene specified by a preset data embedding point task when a development worker constructs the general data model according to the preset data embedding point task, and for example, the embedding point type control may specifically be a page type control, a button type control, an input frame type control, and/or an event type control.
Further, in a possible embodiment, the step S200 may include:
step S201, reading the data embedding point type of each data embedding point control element in the data embedding point general model;
and the terminal equipment traverses all the data embedded point controls which are pre-configured in the data embedded point general model, and then detects and counts to obtain the data embedded point types of all the data embedded point controls.
Specifically, for example, after extracting a data embedding point general model that is pre-constructed and stored by a development worker from a block chain node, the terminal device traverses all data embedding point controls that have been configured in the data embedding point general model by the development worker, so as to detect that a page type-baseview control, a button type-basebutton control, an input frame type baseinput control, and an event type-baseevent control coexist in the data embedding point general model, and further read and obtain that the data embedding point types to which the all data embedding point controls belong respectively are: page type-baseview, button type-basebutton, input box type baseinput, and event type-baseevent.
Step S202, respectively extracting the reporting mechanism corresponding to each data buried point type, and correspondingly configuring the reporting mechanism as the data reporting mechanism of the data buried point control of each data buried point type.
After the terminal equipment detects and obtains the data buried point types to which all the data buried point controls belong in the data buried point general model, respectively extracting and obtaining reporting mechanisms corresponding to the data buried point types according to the data buried point types, and then correspondingly configuring the reporting mechanisms of the data buried point types to the data buried point controls belonging to the data buried point types in all the data buried point controls so as to use the reporting mechanisms as the data reporting mechanisms of the data buried point controls.
It should be noted that, in this embodiment, the reporting mechanism corresponding to each data embedding point type may specifically be: the method comprises the steps that development workers are autonomously defined and generated based on actual service scenes of data buried points or generated based on a specific algorithm, and the generated data are stored in a local database or a cloud database (such as a block chain node) of the terminal equipment and used for determining setting parameters of the terminal equipment for acquiring the time of operation behavior data of the development workers or users based on a data buried point control piece.
Specifically, for example, the types of data embedding points to which all data embedding point control elements belong in the read data embedding point general model of the terminal device respectively include: after the page type-baseview, the button type-basebutton, the input box type-baseinput and the event type-baseevent, the terminal device sequentially detects a reporting mechanism in which data embedding points of the type baseview, the type basebutton, the type baseinput and the type baseevent are respectively associated and stored in the block link points, and thus, the following extraction results are obtained: the reporting mechanism with the data buried point type of baseview is 'base class control creation page display/disappearance or page disappearance along with an upper parent page', the reporting mechanism with the data buried point type of basebutton is 'base class control button click event, repeated click prevention mechanism is needed', the reporting mechanism with the data buried point type of baseinput is 'base class control input box start input and end event', and the reporting mechanism with the data buried point type of baseevent is 'base class control network request initiation/success/failure node'. Then, the terminal equipment sequentially configures the read reporting mechanism 'base class control created page display/disappearance or page disappearance along with an upper parent page' on a data embedding point control with a baseview data embedding point type in all data embedding point controls; a reporting mechanism, namely a base class control button clicking event, needing to be made into a repeated click prevention mechanism, is configured on a data embedded point control with a data embedded point type of basebutton in all data embedded point controls; configuring a reporting mechanism 'starting input and ending events of a base class control input box' on a data embedded point control with a data embedded point type baseinput in all data embedded point controls; and configuring a reporting mechanism 'initiating/success/failure node of a base class control network request' on a data embedding point control with a baseview type in all the data embedding point controls.
Step S300, applying the data buried point general model to a mobile APP to be developed, and monitoring the complete life cycle of the data buried point control in the process of running the mobile APP to be developed;
the method comprises the steps that after a terminal device extracts a data embedded point general model and configures respective data reporting mechanisms of all data embedded point control pieces in the data embedded point general model, the terminal device starts and operates the data embedded point general model immediately, so that the data embedded point general model is applied to a mobile APP to be developed which is starting to operate according to a received starting operation instruction, then, in the whole operation process of the mobile APP to be developed, the terminal device continuously monitors target data embedded point control pieces, which are the same as control pieces reflected by the mobile APP to be developed in different service scenes, in the data embedded point control pieces of the configuration reporting mechanism based on the data embedded point general model from generation and triggering to finishing of a complete life cycle.
It should be noted that, in another embodiment, when the mobile APP to be developed specified by the development worker is installed, the terminal device may further perform a data reporting mechanism for each of all the data embedded point control elements in the data embedded point general model that has started to continuously operate when the terminal device starts to operate, so that when the mobile APP to be developed is started to operate, the data embedded point control elements represented in the mobile APP to be developed may be directly monitored for a complete life cycle through the data embedded point general model.
Further, in a possible embodiment, the step S300 may include:
step S301, synchronously starting and operating the data buried point general model in the process of starting and operating the mobile APP to be developed;
specifically, for example, after the terminal device extracts a data embedded point general model according to a received start operation instruction for the mobile APP to be developed and configures and completes respective data reporting mechanisms of all data embedded point control elements in the data embedded point general model, the terminal device starts and operates the mobile APP to be developed based on the start operation instruction, and simultaneously starts and operates the data embedded point general model, so that the data embedded point general model is applied to continuously monitor the whole operation process of the mobile APP to be developed.
Step S302, detecting target data embedded point controls owned by the mobile APP to be developed in each data embedded point control of the data embedded point general model, and monitoring the complete life cycle of the target data embedded point controls.
Specifically, for example, after starting the running data general model and the mobile APP to be developed, the terminal device first detects all controls that need to be displayed based on the front-end user image interface output in a service scene (or other all service scenes) where operation behavior data acquisition and analysis need to be performed on the mobile APP to be developed, and then further detects target data embedded controls that are the same as all the controls and exist in all the data embedded controls in the data embedded point general model, so that the terminal device only monitors a complete life cycle from generation, triggering to termination for the target data embedded controls that are obtained through detection in the whole running process of the mobile APP to be developed.
And step S400, if the data reporting mechanism is triggered by the data embedded point control element, acquiring and reporting the operation behavior data received by the data embedded point control element.
In the process of monitoring the complete life cycle from generation, triggering to completion by the terminal equipment aiming at the data embedded point control with the reporting mechanism continuously configured by the general model, wherein the target data embedded point control is the same as the control embodied by the mobile APP to be developed in different service scenes, if the terminal equipment detects that the control triggers the data reporting mechanism of the target data embedded point control which is the same as the control in the data embedded point general model, the terminal equipment immediately collects the operation behavior data received by the control, and then the behavior data analysis platform analyzes the operation behavior data after reporting the operation behavior data.
Specifically, for example, in the whole operation process of the mobile APP to be developed, when monitoring a complete life cycle from generation, triggering to completion of the service scene that needs to be acquired and analyzed by the terminal device and needs to output the same target data buried point control, namely, the button control a, as all controls displayed on the basis of the front-end user graphical interface, in the service scene that needs to be acquired and analyzed by the mobile APP to be developed, if it is detected that the user touches the button control a through the front-end user graphical interface (or selects the button control a through a voice input mode), thereby triggering a data reporting mechanism that the data buried point type of the button control a belongs to is corresponding to a basebutton- "a base class control button clicking event, and needs to make a repeat clicking prevention mechanism", the terminal device immediately acquires the operation behavior data of the button control a currently touched (or selected by the voice input) by the user, and then reporting the operation behavior data to a pre-connected platform for behavior data analysis to analyze the user behavior.
In the embodiment, when a starting operation instruction which is triggered by a user and aims at a pre-installed mobile APP to be developed is received through terminal equipment, a data buried point general model which is constructed in advance based on a preset data buried point task is extracted; then, the terminal equipment respectively configures corresponding data reporting mechanisms for the data embedded point controls pre-configured in the general model; then, the terminal equipment immediately starts and runs the data embedded point general model, so that the data embedded point general model is applied to a mobile APP to be developed which is starting to run according to a received starting running instruction, and then, in the whole running process of the mobile APP to be developed, the terminal equipment continuously monitors a target data embedded point control part which is the same as the control part embodied by the mobile APP to be developed in different service scenes in a data embedded point control part aiming at a configuration reporting mechanism based on the data embedded point general model from generation and triggering to the end of a complete life cycle; and finally, if the terminal equipment detects that the control triggers a data reporting mechanism of a target data embedded point control element which is the same as the control in the data embedded point general model, the terminal equipment immediately collects the operation behavior data received by the control, and then a behavior data analysis platform analyzes the operation behavior data after reporting the operation behavior data.
The invention realizes that the embedded point monitoring is carried out on the data embedded point control part of the mobile APP to be developed based on the built general model to form non-embedded data embedded point operation, and the coupling between the data embedded point and the service scene is reduced.
Further, on the basis of the first embodiment of the data embedding method for mobile APP of the present invention, a second embodiment of the data embedding method for mobile APP is proposed, and in this embodiment, the data embedding method for mobile APP of the present invention may further include:
and A, acquiring a preset data point burying task, and constructing a data point burying general model according to the preset data point burying task.
The terminal device can receive a preset data point burying task, analyze the preset data point burying task, obtain a service scene packaged in the preset data point burying task and needing data point burying work such as operation behavior data acquisition and data reporting, and then unify configuration information such as a field KEY, a field type and a field description according to the service scene, so that a data point burying general model for data point burying work such as user behavior data acquisition and behavior reporting is constructed.
It should be noted that, in this embodiment, a development worker autonomously defines one or more service scenarios of data embedding point work such as data acquisition and reporting in advance through a visual graphical interface, and then encapsulates the service scenarios to generate a preset data embedding point task, it should be understood that the data embedding point method of the mobile APP according to the present invention is not limited to the specific service scenario definition and other contents of the preset data embedding point task.
Further, in a possible embodiment, step a may include:
step A1, analyzing the preset data embedding task to obtain all service scenes needing data embedding work;
after receiving a preset data point burying task which is defined and generated in advance, the terminal equipment analyzes the preset data point burying task, so that a service scene which is packaged in the preset data point burying task and needs to carry out data point burying work such as operation behavior data acquisition and data reporting is obtained.
Step A2, unifying configuration information of the architecture model field aiming at all the service scenes to construct a model structure of the data buried point general model.
After analyzing and obtaining each service scene which is defined by development workers in a preset data embedding task and needs to perform data embedding work such as operation behavior data acquisition and data reporting, the terminal equipment uniformly constructs the name, the type, the null state, the field description and the like of a model field KEY in each service scene so as to obtain a model structure of a data embedding point general model for performing data embedding work such as user behavior data acquisition and behavior reporting.
Specifically, for example, after analyzing a received preset data embedding task to obtain each service scenario defined by a development worker in the preset data embedding task and requiring data embedding work such as operation behavior data acquisition and data reporting, the terminal device unifies "field KEY" with the same architecture, field type, whether the field is empty, field description, and remark in each service scenario, and the specific architecture configuration content is shown in table 1 below:
table 1:
further, in a possible embodiment, step a may further include:
step A3, detecting all data controls shared by all the business scenes and control base classes to which all the data controls belong;
and the terminal equipment constructs the data buried point embedded control element in the data buried point general model after or at the same time of configuring the model structure of the architecture data buried point general model. The terminal equipment detects all data controls shared by all the service scenes from all the service scenes defined by development workers in a preset data embedding task and needing data embedding work such as operation behavior data acquisition, data reporting and the like, and counts the spatial base classes to which all the data controls belong.
And A4, carrying out data control type expansion according to each control base class to construct and obtain each data buried point control in the data buried point general model.
After the terminal equipment obtains all the data controls shared by all the service scenes through statistics, and the space base classes to which the data controls belong, the terminal equipment expands the data control types of all the control base classes one by one so as to construct all the data embedded point controls of a data embedded point general model for performing data embedded point work such as user behavior data acquisition, behavior reporting and the like.
Further, in a possible embodiment, step a4 may further include:
step A401, obtaining each model field used for identifying the type of the data buried point in the model structure of the data buried point general model;
step A402, uniformly configuring key value pairs of model fields corresponding to the control base classes according to the control base classes respectively to perform data buried point type expansion;
step A403, using the data control of each model field identifier after data buried point type expansion as each data buried point control in the data buried point general model.
Specifically, for example, the terminal device extracts all model fields key for identifying the data embedding point type from the model structure of the constructed data embedding point general model: moduleName, type, pageName, subName, reportType and param, and then obtaining the spatial base classes to which each model field key belongs according to statistics: the data buried point type expansion is carried out on the BaseView base class, the BaseButton base class, the BaseInput base class and the BaseEvent base class aiming at each model field key, namely:
the terminal equipment sequentially processes page model fields key belonging to the BaseView base class according to the configuration rule shown in the following table 2: the method comprises the steps of moduleName, type, pageName, subName, reportType and param, and key value pairs (field key + field value source) are configured to expand controls of all page view types.
Table 2:
| BaseView model field key | Source of field value |
| moduleName | Business module name of current APP global variable |
| type | Default to page 0 |
| pageName | Creating the name of the View Page |
| subName | Is empty by default |
| param | Setting reporting parameters according to business needs, wherein the reporting parameters can be null |
In addition, the terminal device sequentially applies the button class model field key belonging to the BaseButton base class according to the configuration rule shown in the following table 3: the method comprises the steps of configuring a key value pair by a moduleName, a type, a pageName, a subName, a reportType and a param, and a model field key of an input box type belonging to the BaseInput base class, so that a control of a button type or an input box type is expanded.
Table 3:
| BaseButton model field key | Source of field value |
| moduleName | moduleName of upper layer View class |
| type | Defaults to page 1 |
| pageName | pageName of upper layer View class |
| subName | The name of the Button at the time of creating |
| param | Setting reporting parameters according to business needs, wherein the reporting parameters can be null |
And the terminal equipment sequentially requests the event class model field key belonging to the BaseEvent base class according to the configuration rule shown in the following table 4: moduleName, type, pageName, subName, reportType and param, and configuring key value pairs so as to expand the control of the network request class.
Table 4:
| BaseEvent model field key | Source of field value |
| moduleName | Business module name of current APP global variable |
| type | Default to page 3 |
| pageName | Interface name of network request |
| subName | Initiation/success/failure |
| param | Setting reporting parameters according to business needs, wherein the reporting parameters can be null |
And finally, the terminal equipment configures the key value pairs to complete all the controls of the page view types, the button type controls, the input frame type controls and the network request type controls identified by the model fields, the model name, the type, the pageName, the subName, the reportType and the param after the data buried point type is expanded, and the configured key value pairs are used as all the data buried point controls of the constructed data buried point general model for the data buried point work such as user behavior data acquisition, behavior report and the like.
In this embodiment, after receiving a predefined preset data embedding task, a terminal device analyzes the preset data embedding task, so as to obtain a service scene, which is encapsulated in the preset data embedding task and needs to perform data embedding work such as operation behavior data acquisition and data reporting; and uniformly constructing the name, the type, the null or not, the field description and the like of the model field KEY in each service scene to obtain a model structure of a data buried point general model for data buried point work such as user behavior data acquisition, behavior report and the like. The terminal equipment detects all data controls shared by all the service scenes from all the service scenes defined by development workers in a preset data embedding task and needing data embedding work such as operation behavior data acquisition, data reporting and the like, and counts the spatial base classes to which all the data controls belong; and expanding the data control type one by one for each control base class so as to construct each data embedded point control of a data embedded point general model for performing data embedded point work such as user behavior data acquisition, behavior reporting and the like.
Realized, through the data bury some general model of data structure and be used for follow-up data to mobile APP bury some control spare and bury some control and user's action data acquisition's data and bury some work, thereby, bury some general model through using this data and can form the data of non-embedding and bury some operation, reduce the coupling between data bury and the business scene, compare in the embedded data of tradition and bury some mode, can spend a large amount of time arrangement data and bury some scenes and carry out loaded down with trivial details data that report and bury some information and insert work in appointed business scene, not only can promote the efficiency that data buried some were laid and were arranged, can also avoid burying the condition that the point was laid and is wrong, promote the precision of burying the point.
In addition, the present invention also provides a data embedding system of mobile APP, please refer to fig. 3, fig. 3 is a schematic diagram of functional modules of the data embedding system of mobile APP of the present invention, the data embedding system of mobile APP includes:
the extraction module 101 is used for extracting a data embedded point general model when a starting operation instruction for a mobile APP to be developed is received, wherein the data embedded point general model is constructed based on a preset data embedded point task;
a configuration module 102, configured to configure a data reporting mechanism of a data embedded point control in the data embedded point general model;
the monitoring module 103 is configured to apply the data embedded point general model to a mobile APP to be developed, and monitor a complete life cycle of the data embedded point control in a process of running the mobile APP to be developed;
and the acquisition module 104 is configured to acquire and report the operation behavior data received by the data-embedded point controller if it is detected that the data-embedded point controller triggers the data reporting mechanism.
Preferably, the data embedding system of mobile APP of the present invention further comprises:
the model building module is used for obtaining a preset data point burying task and building a data point burying general model according to the preset data point burying task;
a model building module comprising:
the analysis unit is used for analyzing the preset data embedding task to obtain all service scenes needing data embedding work;
and the first configuration unit is used for unifying configuration information of the architecture model field aiming at all the service scenes so as to construct and obtain a model structure of the data buried point general model.
Preferably, the model building module further comprises:
the detection unit is used for detecting all data controls shared by all the service scenes and control base classes to which all the data controls belong;
and the second configuration unit is used for carrying out data control type expansion according to each control base class so as to construct and obtain each data buried point control in the data buried point general model.
Preferably, the second configuration unit includes:
the acquisition subunit is used for acquiring each model field used for identifying the type of the data buried point in the model structure of the data buried point general model;
the configuration subunit is used for respectively and uniformly configuring key value pairs of model fields corresponding to the control base classes according to the control base classes so as to carry out data buried point type expansion;
and the marking subunit is used for taking the data control identified by each model field after the data embedded point type expansion as each data embedded point control in the data embedded point general model.
Preferably, the configuration module 102 includes:
the reading unit is used for reading the data embedded point type of each data embedded point control element in the data embedded point general model;
and the third configuration unit is used for respectively extracting the reporting mechanisms corresponding to the data buried point types and correspondingly configuring the reporting mechanisms into the data reporting mechanisms of the data buried point controls of the data buried point types.
Preferably, the monitoring module 103 comprises:
the starting unit is used for synchronously starting and operating the data buried point general model in the process of starting and operating the mobile APP to be developed;
and the monitoring unit is used for detecting target data embedded point controls owned by the mobile APP to be developed in each data embedded point control of the data embedded point general model and monitoring the complete life cycle of the target data embedded point controls.
Preferably, the data-embedded point general model is stored in a block chain, and the extraction module 101 of the data-embedded point system of the mobile APP of the present invention is further configured to extract the data-embedded point general model from the block chain when receiving a start-up operation instruction for the mobile APP to be developed.
Furthermore, the present invention also provides a computer storage medium storing one or more programs, the one or more programs further executable by one or more processors for:
when a starting operation instruction for a mobile APP to be developed is received, extracting a data buried point general model, wherein the data buried point general model is constructed based on a preset data buried point task;
configuring a data reporting mechanism of a data embedded point control element in the data embedded point general model;
applying the data embedded point general model to a mobile APP to be developed, and monitoring the complete life cycle of the data embedded point control in the process of running the mobile APP to be developed;
and if the data reporting mechanism is triggered by the data embedded point control element, acquiring and reporting the operation behavior data received by the data embedded point control element.
Further, the one or more programs are also executable by the one or more processors to:
and acquiring a preset data point burying task, and constructing a data point burying general model according to the preset data point burying task.
In addition, the data-embedded common model is stored in a blockchain, and the one or more programs are further executable by the one or more processors to:
and when a starting operation instruction for the mobile APP to be developed is received, extracting a data buried point general model from the block chain.
The specific implementation of the computer storage medium of the present invention is substantially the same as the above-mentioned embodiments of the data embedding method for mobile APP, and will not be described herein again.
It should be noted that the blockchain in the present invention is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like. Further, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A data embedding method of a mobile APP is characterized by comprising the following steps:
when a starting operation instruction for a mobile APP to be developed is received, extracting a data buried point general model, wherein the data buried point general model is constructed based on a preset data buried point task;
configuring a data reporting mechanism of a data embedded point control element in the data embedded point general model;
applying the data embedded point general model to a mobile APP to be developed, and monitoring the complete life cycle of the data embedded point control in the process of running the mobile APP to be developed;
and if the data reporting mechanism is triggered by the data embedded point control element, acquiring and reporting the operation behavior data received by the data embedded point control element.
2. The method for data embedding of mobile APP as claimed in claim 1, further comprising:
acquiring a preset data point burying task, and constructing a data point burying general model according to the preset data point burying task;
the step of constructing a data buried point general model according to the preset data buried point task comprises the following steps:
analyzing the preset data point burying task to obtain all service scenes needing data point burying work;
and unifying configuration information of the architecture model field aiming at all the service scenes to construct a model structure of the data buried point general model.
3. The method for embedding data in mobile APP as claimed in claim 2, wherein said step of constructing a common model of data embedding according to said predetermined task of data embedding further comprises:
detecting all data controls shared by all the service scenes and control base classes to which all the data controls belong;
and carrying out data control type expansion according to each control base class to construct and obtain each data buried point control in the data buried point general model.
4. The data embedding method of mobile APP as claimed in claim 3, wherein said step of performing data control type expansion according to each control base class to construct each data embedding control in the data embedding general model includes:
obtaining each model field used for identifying the type of the data buried point in the model structure of the data buried point general model;
respectively and uniformly configuring key value pairs of model fields corresponding to the control base classes according to the control base classes to carry out data buried point type expansion;
and taking the data control of each model field mark after data buried point type expansion as each data buried point control in the data buried point general model.
5. The method of claim 1, wherein the step of configuring a data reporting mechanism of a data embedding control in the data embedding general model includes:
reading the data buried point type of each data buried point control element in the data buried point general model;
and respectively extracting the reporting mechanism corresponding to each data buried point type, and correspondingly configuring the reporting mechanism into the data reporting mechanism of the data buried point control of each data buried point type.
6. The method for embedding data in mobile APP as claimed in claim 1, wherein said step of applying said common model of data embedding to mobile APP to be developed and monitoring the complete lifecycle of said data embedding control during running said mobile APP to be developed comprises:
synchronously starting and operating the data buried point general model in the process of starting and operating the mobile APP to be developed;
and detecting target data embedded point controls owned by the mobile APP to be developed in each data embedded point control of the data embedded point general model, and monitoring the complete life cycle of the target data embedded point controls.
7. The method for embedding data of mobile APP as claimed in claim 1, wherein the data-embedded common model is stored in a block chain, and the step of extracting the data-embedded common model when receiving a start-up operation command for the mobile APP to be developed comprises:
and when a starting operation instruction for the mobile APP to be developed is received, extracting a data buried point general model from the block chain.
8. A data point burying system of a mobile APP, comprising:
the system comprises an extraction module and a data embedding point processing module, wherein the extraction module is used for extracting a data embedding point general model when a starting operation instruction aiming at a mobile APP to be developed is received, and the data embedding point general model is constructed based on a preset data embedding point task;
the configuration module is used for configuring a data reporting mechanism of the data embedded point control element in the data embedded point general model;
the monitoring module is used for applying the data embedded point general model to a mobile APP to be developed and monitoring the complete life cycle of the data embedded point control in the process of running the mobile APP to be developed;
and the acquisition module is used for acquiring and reporting the operation behavior data received by the data embedded point control element if the data embedded point control element is detected to trigger the data reporting mechanism.
9. A terminal device, characterized in that the terminal device comprises: a memory, a processor, a communication bus and a data-embedded program of a mobile APP stored on said memory,
the communication bus is used for realizing communication connection between the processor and the memory;
the processor is configured to execute a data burial program of the internet-based mobile APP to implement the steps of the data burial method of the mobile APP as claimed in any one of claims 1 to 7.
10. A computer storage medium, characterized in that it has stored thereon a data-embedding program of mobile APP, which when executed by a processor implements the steps of the data-embedding method of mobile APP as claimed in any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112231196A (en) * | 2020-12-14 | 2021-01-15 | 平安科技（深圳）有限公司 | APP embedded point behavior classification method and device, computer equipment and storage medium |
| CN113434399A (en) * | 2021-06-23 | 2021-09-24 | 青岛海尔科技有限公司 | Service node log processing method and device, storage medium and electronic device |
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2020
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112231196A (en) * | 2020-12-14 | 2021-01-15 | 平安科技（深圳）有限公司 | APP embedded point behavior classification method and device, computer equipment and storage medium |
| CN113434399A (en) * | 2021-06-23 | 2021-09-24 | 青岛海尔科技有限公司 | Service node log processing method and device, storage medium and electronic device |
| CN113434399B (en) * | 2021-06-23 | 2023-06-16 | 青岛海尔科技有限公司 | Service node log processing method and device, storage medium and electronic device |
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